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Reinforcement Learning Training Pipelines · Awesome GitHub Repositories

1 repo

Awesome GitHub RepositoriesReinforcement Learning Training Pipelines

Orchestration tools for managing the lifecycle of reinforcement learning training.

Distinguishing note: Focuses on the coordination of RL training runs.

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  • microsoft/qlib

    microsoft/qlib

    37,586View on GitHub↗

    This project is a comprehensive platform for quantitative investment research, machine learning, and algorithmic trading. It provides an end-to-end environment for developing, testing, and executing financial strategies, supporting the entire lifecycle from data ingestion and feature engineering to model training and backtesting. The system is distinguished by its configuration-driven workflow orchestration, which allows researchers to automate complex pipelines and manage experiments through declarative files. It features a high-performance data infrastructure that utilizes custom binary for

    Coordinates the reinforcement learning lifecycle by managing environment creation, policy updates, and runtime execution.

    Pythonalgorithmic-tradingauto-quantdeep-learning
    37,586View on GitHub↗